ABOUT
Who I Am
I'm Ashwini Kumar Kar — an ML engineer and researcher driven by the conviction that intelligent systems should solve tangible, real-world problems. From building retinal disease classifiers that achieve 95% accuracy to architecting emergency blood supply platforms protected by patent, I approach every project with rigorous methodology and a builder's mindset. Currently pursuing my MCA at Lovely Professional University, I bring a 9.66 CGPA foundation from KIIT University and a portfolio of peer-reviewed research to every challenge I take on.
What drives me
What drives me is the intersection of deep technical craft and meaningful impact. I don't build demos — I build systems that work in production, at scale, for people who need them most.
Open Source Contributions
SKILLS
Technical Arsenal
Languages
Web Technologies
ML & Data
Tools & Platforms
Core Competencies
EXPERIENCE
Where I've Worked
Content and Data Analysis Intern
Acechem Remedies Pvt Ltd
Machine Learning Intern — Biomedical Research
KIIT University
PROJECTS
What I've Built
Bridging the gap between theoretical research and production-grade intelligent systems.
Rakshak
Emergency Blood Supply & Donor Platform
A comprehensive emergency blood supply and donor management platform that combines ML-driven demand forecasting, blockchain-based anti-theft tracking, and gamified donor engagement to solve critical blood shortage crises.
IRIS
Retinal Disease Classification
A deep learning system for automated retinal disease classification from fundus images, benchmarking multiple state-of-the-art architectures to identify the optimal approach for clinical deployment.
Urban Sound Classification
Hybrid Deep Learning for Audio
A hybrid CNN-BiLSTM-GRU architecture for urban sound classification, achieving a 20% improvement over baseline approaches for smart city noise monitoring applications.
RESEARCH & PATENTS
Published Work
Anti-Theft Blood Tracking and Optimization System with Citizen-Level Emergency Interface, ML-Based Demand Forecasting, Blockchain-Verified Chain of Custody, Gamified Donor Engagement, and Hierarchical Regulatory Compliance Automation
Indian Patent Office
Filed: Feb 7, 2026
Retinal Disease Classification using Deep Learning Architectures
IEEE OCIT, KIIT University
Dec 20, 2025
LEADERSHIP
Leading from the Front
Lead Organiser
KIIT-FEST 7.0
Orchestrated a national-level technical and cultural festival with 500+ participants from 20+ universities across India. Spearheaded the Pitch It innovation competition for 30+ teams, managing logistics, judging coordination, and real-time issue resolution.
Event Organiser
BytoMania
Coordinated logistics for 1,000+ students, collaborating with 5+ teams on crowd management and real-time issue resolution during the event. Demonstrated strong stakeholder communication and cross-team coordination skills under high-pressure, large-scale event conditions.
ACHIEVEMENTS
Recognition & Certifications
Academic Excellence
Graduated with the highest CGPA of 9.66/10 at KIIT University across the Computer Science department.
Best NSS Volunteer (Unit-wise)
Recognised by KIIT University for outstanding contributions to community service through the National Service Scheme.
Rajya Puraskar
Received the highest state-level award from Bharat Scouts and Guides in recognition of exemplary scouting service.
Red Cross India
Awarded a service certificate for participation in the Baliyatra humanitarian initiative.
Data Analytics Certification
Data Analytics (Udemy) — demonstrating continuous upskilling in ML and data disciplines.
Machine Learning Certification
Machine Learning (Coursera) — demonstrating continuous upskilling in ML and data disciplines.
EDUCATION
Academic Journey
Lovely Professional University
Master of Computer Applications (MCA)
KIIT University
Bachelor's of Science (Computer Science Hons)
Kendriya Vidyalaya
Intermediate (Class XI–XII)
CONTACT
Get in Touch
Have a project in mind, a research collaboration to discuss, or just want to say hello? I'd love to hear from you. Drop me a message and I'll get back to you as soon as possible.